Ankit Kariryaa

Ankit Kariryaa

Data Scientist, Machine Learning Consultant, Deep Learning Researcher, Public Speaker, Sailor and a Postdoctoral Researcher at University of Copenhagen.

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Pages

Posts

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Blog Post number 4

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Blog Post number 1

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portfolio

publications

On the Intuitiveness of Common Discretization Methods

Published in In the proceedings of KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA’16), 2016

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Recommended citation: Mario Boley, Ankit Kariryaa, "On the Intuitiveness of Common Discretization Methods." In the proceedings of KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA’16), 2016.

Activity and mood-based routing for autonomous vehicles

Published in In the proceedings of Workshop on Mobile Interaction With and In Autonomous Vehicles workshop at MobileHCI, 2017

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Recommended citation: Ankit Kariryaa, Tony Veale, Johannes Sch{\"o}ning, "Activity and mood-based routing for autonomous vehicles." In the proceedings of Workshop on Mobile Interaction With and In Autonomous Vehicles workshop at MobileHCI, 2017.

CHI 2018

Published in IEEE Pervasive Computing, 2018

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Recommended citation: Niels Berkel, Julio Vega, Ankit Kariryaa, C Smith, Ye Yuan, "CHI 2018." IEEE Pervasive Computing, 2018.

Defining and predicting the localness of volunteered geographic information using ground truth data

Published in In the proceedings of Proceedings of the 2018 CHI conference on human factors in computing systems, 2018

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Recommended citation: Ankit Kariryaa, Isaac Johnson, Johannes Sch{\"o}ning, Brent Hecht, "Defining and predicting the localness of volunteered geographic information using ground truth data." In the proceedings of Proceedings of the 2018 CHI conference on human factors in computing systems, 2018.

Very High Resolution Satellite Imagery Reveals Many Millions of Termite Mounds Across the West African Sahel

Published in In the proceedings of AGU Fall Meeting Abstracts, 2019

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Recommended citation: Brianna Lind, Martin Brandt, Ankit Kariryaa, Jennifer Small, Katherine Melocik, Compton Tucker, Niall Hanan, "Very High Resolution Satellite Imagery Reveals Many Millions of Termite Mounds Across the West African Sahel." In the proceedings of AGU Fall Meeting Abstracts, 2019.

Moiprivacy: Design and evaluation of a personal password meter

Published in In the proceedings of 19th International Conference on Mobile and Ubiquitous Multimedia, 2020

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Recommended citation: Ankit Kariryaa, Johannes Sch{\"o}ning, "Moiprivacy: Design and evaluation of a personal password meter." In the proceedings of 19th International Conference on Mobile and Ubiquitous Multimedia, 2020.

Deep Learning and High Resolution Satellite Imagery Reveal 10s of Millions of Termite Mounds in Senegal, West Africa

Published in In the proceedings of AGU Fall Meeting Abstracts, 2021

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Recommended citation: Brianna Lind, Martin Brandt, Ankit Kariryaa, Jennifer Small, Katherine Melocik, Compton Tucker, Niall Hanan, "Deep Learning and High Resolution Satellite Imagery Reveal 10s of Millions of Termite Mounds in Senegal, West Africa." In the proceedings of AGU Fall Meeting Abstracts, 2021.

Detecting, mapping and characterizing agroforestry systems in Peru

Published in In the proceedings of AGU Fall Meeting Abstracts, 2021

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Recommended citation: Daniel Ortiz, Martin Brandt, Rasmus Fensholt, Florian Reiner, Ankit Kariryaa, Wanting Yang, Xiaoye Tong, Amelie Gaudin, Todd Rosenstock, "Detecting, mapping and characterizing agroforestry systems in Peru." In the proceedings of AGU Fall Meeting Abstracts, 2021.

Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

Published in In the proceedings of ECML PKDD 2021 - Discovery Challenge, Workshop "Discover the mysteries of the Maya", 2021

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Recommended citation: Thorben Hellweg, Stefan Oehmcke, Ankit Kariryaa, Fabian Gieseke, Christian Igel, "Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures." In the proceedings of ECML PKDD 2021 - Discovery Challenge, Workshop "Discover the mysteries of the Maya", 2021.

OPTIMADE, an API for exchanging materials data

Published in Scientific data, 2021

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Recommended citation: Casper Andersen, Rickard Armiento, Evgeny Blokhin, Gareth Conduit, Shyam Dwaraknath, Matthew Evans, Ádám Fekete, Abhijith Gopakumar, Saulius Gražulis, Andrius Merkys, Fawzi Mohamed, Corey Oses, Giovanni Pizzi, Gian-Marco Rignanese, Markus Scheidgen, Leopold Talirz, Cormac Toher, Donald Winston, Rossella Aversa, Kamal Choudhary, Pauline Colinet, Stefano Curtarolo, Davide Stefano, Claudia Draxl, Suleyman Er, Marco Esters, Marco Fornari, Matteo Giantomassi, Marco Govoni, Geoffroy Hautier, Vinay Hegde, Matthew Horton, Patrick Huck, Georg Huhs, Jens Hummelshøj, Ankit Kariryaa, Boris Kozinsky, Snehal Kumbhar, Mohan Liu, Nicola Marzari, Andrew Morris, Arash Mostofi, Kristin Persson, Guido Petretto, Thomas Purcell, Francesco Ricci, Frisco Rose, Matthias Scheffler, Daniel Speckhard, Martin Uhrin, Antanas Vaitkus, Pierre Villars, David Waroquiers, Chris Wolverton, Michael Wu, Xiaoyu Yang, "OPTIMADE, an API for exchanging materials data." Scientific data, 2021.

Trees outside forests in global drylands

Published in In the proceedings of AGU Fall Meeting Abstracts, 2021

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Recommended citation: Martin Brandt, Compton Tucker, Florian Reiner, Maurice Mugabowindekwe, Xiaoye Tong, Sizhuo Li, Ankit Kariryaa, Pierre Hiernaux, Yuemin Yue, Rasmus Fensholt, "Trees outside forests in global drylands." In the proceedings of AGU Fall Meeting Abstracts, 2021.

Understanding Users' Knowledge about the Privacy and Security of Browser Extensions

Published in In the proceedings of Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021), 2021

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Recommended citation: Ankit Kariryaa, Gian-Luca Savino, Carolin Stellmacher, Johannes Sch{\"o}ning, "Understanding Users' Knowledge about the Privacy and Security of Browser Extensions." In the proceedings of Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021), 2021.

Using deep learning to map Adansonia digitata L. from high resolution satellite imagery in Senegal and South Africa at country scale

Published in In the proceedings of AGU Fall Meeting Abstracts, 2021

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Recommended citation: Ke Huang, Martin Brandt, Compton Tucker, Sizhuo Li, Florian Reiner, Maurice Mugabowindekwe, Ankit Kariryaa, Xiaoye Tong, Wenmin Zhang, Xiaowei Tong, Rasmus Fensholt, "Using deep learning to map Adansonia digitata L. from high resolution satellite imagery in Senegal and South Africa at country scale." In the proceedings of AGU Fall Meeting Abstracts, 2021.

Using large volumes of DigitalGlobe satellite data for machine learning tree mapping

Published in In the proceedings of AGU Fall Meeting Abstracts, 2021

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Recommended citation: Compton Tucker, Martin Brandt, Ankit Kariryaa, Yasmin Fitts, Erin Glennie, Scott Sinno, Katherine Melocik, Pierre Hiernaux, Laurent Kergoat, Rasmus Fensholt, "Using large volumes of DigitalGlobe satellite data for machine learning tree mapping." In the proceedings of AGU Fall Meeting Abstracts, 2021.

Free as a Bird, but at What Cost? The Impact of Street Networks on the User Experience of As-The-Crow-Flies Navigation for Cyclists

Published in Proceedings of the ACM on Human-Computer Interaction, 2022

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Recommended citation: Gian-Luca Savino, Ankit Kariryaa, Johannes Sch{\"o}ning, "Free as a Bird, but at What Cost? The Impact of Street Networks on the User Experience of As-The-Crow-Flies Navigation for Cyclists." Proceedings of the ACM on Human-Computer Interaction, 2022.

Nation-wide mapping of tree level carbon stocks in Rwanda

Published in Nature Climate Change, 2022

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Recommended citation: Maurice Mugabowindekwe, Martin Brandt, Jerome Chave, Florian Reiner, David Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux, Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana, Jens-Peter Lillesø, Fabian Gieseke, Compton Tucker, Sassan Saatchi, Rasmus Fensholt, "Nation-wide mapping of tree level carbon stocks in Rwanda." Nature Climate Change, 2022.

Allometric equations to estimate the dry mass of Sahel woody plants mapped with very-high resolution satellite imagery

Published in Forest Ecology and Management, 2023

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Recommended citation: Pierre Hiernaux, Hassane Issoufou, Christian Igel, Ankit Kariryaa, Moussa Kourouma, J{\'e}r{\^o}me Chave, Eric Mougin, Patrice Savadogo, "Allometric equations to estimate the dry mass of Sahel woody plants mapped with very-high resolution satellite imagery." Forest Ecology and Management, 2023.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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